| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Naji Marshall: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dennis Schröder: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Mitchell: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Naji Marshall: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Donovan Mitchell: 40+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dennis Schröder: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Naji Marshall: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Cooper Flagg: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Donovan Mitchell: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dennis Schröder: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Mitchell: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Naji Marshall: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Evan Mobley: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Cooper Flagg: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on how many points will be scored in the Dallas at Cleveland matchup across multiple specified outcomes; it matters because aggregated market prices summarize collective expectations about scoring and can inform risk-taking or hedging around the game.
This is a points market for a Dallas vs. Cleveland game listed on KALSHI with 13 distinct outcomes; the market currently shows total volume traded of $0 and a closing time listed as TBD. Points markets commonly partition total scoring into ranges or exact totals so traders can express views on low-, medium-, or high-scoring scenarios; outcomes reflect game fundamentals (offense, defense, pace) and situational factors (location, weather, injuries).
Market prices represent the relative market consensus on which point-range outcomes are expected to occur; interpret prices as signals that will update as pregame information (injuries, lineups, weather) or in-game developments emerge.
Each outcome corresponds to a mutually exclusive points range or exact total for the game as listed on the market page; check the market’s outcome labels to see the precise scoring intervals that traders can buy or sell.
The market close is listed as TBD; on KALSHI, points markets typically close at or shortly before official game start or when the game clock begins — monitor the event page for the definitive close time and any platform announcements.
Prioritize verified injury reports and official inactive lists: the absence of a key quarterback, primary scorer, or specialist can materially reduce or increase expected scoring, and markets tend to re-price quickly as those reports are released.
Head-to-head history can offer context but has limited predictive power if rosters, coaches, or season circumstances have changed; emphasize recent team scoring trends, current-season offensive/defensive metrics, and matchup-specific indicators over distant past results.
Late-breaking weather forecasts (for outdoor games), last-minute injuries, or changes in expected game script (e.g., reports that a team will rest starters) can shift market prices; markets aggregate those signals, so expect more movement when new, credible information is released close to kickoff.